DEVELOPING ADAPTABLE PREDICTIVE ANALYTICS FOR SUBJECTS IN MEDICAL FACILITIES

摘要

A method is provided for developing adaptable predictive analytics for subjects in a medical facility. The method includes training a predictive algorithm (S311) for predicting an adverse medical event at a desired notification time before the medical event using initial annotations indicating times for diagnosis of the medical event; determining real risk scores over time (S312) using the predictive algorithm, where the real risk scores indicate actual probabilities of the medical event occurring at predetermined times before the medical event; creating required risk scores (S313) based on a real risk score trend, where the required risk scores indicate modified probabilities of the medical event occurring at the predetermined times; mapping the initial annotations to a time-series of new annotations (S314) that minimizes differences between the required and real risk scores; fine-tuning the predictive algorithm (S315) using the time-series of new annotations; and monitoring subjects (S316) by applying the fine- tuned predictive algorithm.